STAT 401 Biostatistics

Introduction to statistical models applied in the health sciences, with a focus on the estimation and interpretation of odds ratios, risk ratios and hazard ratios. Topics may include contingency tables, binary and ordinal logistic regression, Poisson regression, log-binomial regression, generalized linear models, survival analysis, cox proportional hazards and failure time models; use of computer software such as R.

Credits

4

Prerequisite

STAT 201 or STAT 216, or equivalent, or permission of department chair.

General Education

Offered

  • Fall